Skip to main content

Planning

17 posts tagged with β€œPlanning”

Static Lead Times Are Failing: Govern AI Estimates With Confidence and Override Rules
AIlead-times

Static Lead Times Are Failing: Govern AI Estimates With Confidence and Override Rules

Replace static supplier lead times with governed AI estimates, confidence ranges, planner override rules, and outcome feedback that improve service and inventory decisions.

CXTMS InsightsCXTMS InsightsOctober 3, 2026 Β· 6 min read
Supply Chain Recovery Time: Measure the Tail After the Disruption Ends
ResilienceDisruption Management

Supply Chain Recovery Time: Measure the Tail After the Disruption Ends

Learn how to measure supply chain recovery time across backlog, equipment, appointments, and service instead of mistaking reopening for recovery.

CXTMS InsightsCXTMS InsightsSeptember 27, 2026 Β· 6 min read
Import Inventories Are Stable at 52.8β€”Here’s the Replenishment Trigger That Matters
InventoryOcean Freight

Import Inventories Are Stable at 52.8β€”Here’s the Replenishment Trigger That Matters

Import inventory expansion held within a narrow 52.8–60.5 range in 2026. Learn how to turn bookings, supply, orders, and lead-time variance into an actionable freight trigger.

CXTMS InsightsCXTMS InsightsSeptember 13, 2026 Β· 6 min read
Mars Is Connecting Logistics Planning to Execution: The KPI Contract That Makes AI Useful
PlanningTransportation Management

Mars Is Connecting Logistics Planning to Execution: The KPI Contract That Makes AI Useful

Learn how a shared KPI contract connects AI logistics recommendations to shipment execution, cost, service, utilization, and exception outcomes.

CXTMS InsightsCXTMS InsightsAugust 20, 2026 Β· 6 min read
DDMRP Turns Manufacturing Buffers Into Transportation Release Rules
ManufacturingPlanning

DDMRP Turns Manufacturing Buffers Into Transportation Release Rules

DDMRP is returning to North American manufacturing, but buffer signals only work when they become clear transportation release rules for inbound freight, docks, suppliers, and expedites.

CXTMS InsightsCXTMS InsightsJuly 20, 2026 Β· 6 min read
Quantum Computing Is Moving From Lab Talk to Industrial Supply Chain Scenarios
Supply Chain TechnologyOptimization

Quantum Computing Is Moving From Lab Talk to Industrial Supply Chain Scenarios

Quantum computing is not ready to replace transportation management systems, but it is changing how logistics teams should define routing, inventory, maintenance, and network optimization problems.

CXTMS InsightsCXTMS InsightsJune 27, 2026 Β· 7 min read
Interest Rates Are Becoming a Supply Chain Planning Variable
ManufacturingPlanning

Interest Rates Are Becoming a Supply Chain Planning Variable

Interest rates are now shaping inventory buffers, warehouse commitments, supplier terms, and freight-mode choices as manufacturers plan through cost uncertainty.

CXTMS InsightsCXTMS InsightsJune 26, 2026 Β· 6 min read
The Costliest Logistics Assumption in 2026 Is That Last Year’s Network Still Works
Network DesignRisk Management

The Costliest Logistics Assumption in 2026 Is That Last Year’s Network Still Works

Static logistics assumptions are becoming network risk as tariffs, fuel, sourcing, capacity, and demand signals move faster than annual planning cycles.

CXTMS InsightsCXTMS InsightsJune 15, 2026 Β· 6 min read
Transportation Optimization Is Compressing Planning Cycles From Weeks to Hours
AIPlanning

Transportation Optimization Is Compressing Planning Cycles From Weeks to Hours

AI transportation optimization is shrinking freight planning cycles from weeks to hours, but only when rates, constraints, service rules, and planner oversight are digitized first.

CXTMS InsightsCXTMS InsightsJune 7, 2026 Β· 7 min read
Food Waste Is a Planning Data Problem, Not Just a Sustainability Problem
SustainabilityFood Logistics

Food Waste Is a Planning Data Problem, Not Just a Sustainability Problem

Food waste reduction now depends on store-level forecasting, shelf-life data, expiration visibility, and exception workflows as much as sustainability intent.

CXTMS InsightsCXTMS InsightsMay 31, 2026 Β· 7 min read